Categories

autoencoder

• 05/12/2016 Variational Autoencoder (VAE)

PCA

• 02/01/2017 Robust PCA, SSC and LRR

SSC

• 02/01/2017 Robust PCA, SSC and LRR

LRR

• 02/01/2017 Image Denoising with LRR
• 02/01/2017 Robust PCA, SSC and LRR

image_denoising

• 02/01/2017 Image Denoising with LRR

RBM

• 02/01/2017 HopField Network and Restricted Boltzmann Machine (RBM)

HopField

• 02/01/2017 HopField Network and Restricted Boltzmann Machine (RBM)

DBN

• 02/01/2017 Deep Belief Networks (DBNs)

GAN

• 04/01/2017 GANs and DCGANs

reinforcement-learning

• 22/10/2021 Matrix Game, Markov Game, POMDP and PSR
• 23/04/2021 An Introduction to Model-based RL
• 04/01/2017 Introduction of Reinforcement Learning

network-mining

• 25/04/2017 Note of Heterogeneous Network Mining

heterogeneous-network

• 25/04/2017 Note of Heterogeneous Network Mining

tensorflow

• 25/08/2019 GSoC 2019 Summary
• 29/08/2018 A Concise Handbook of TensorFlow

google

• 25/08/2019 GSoC 2019 Summary

ADMM

• 17/12/2019 Introduction to ADMM

optimization

• 31/12/2020 Introduction to Simplex and Interior-Point Methods for Linear Programming
• 17/12/2019 Introduction to ADMM

LP

• 31/12/2020 Introduction to Simplex and Interior-Point Methods for Linear Programming

Simplex

• 31/12/2020 Introduction to Simplex and Interior-Point Methods for Linear Programming

Interior-Point

• 31/12/2020 Introduction to Simplex and Interior-Point Methods for Linear Programming

game-theory

• 22/10/2021 Matrix Game, Markov Game, POMDP and PSR
• 19/01/2021 Game Theory Note

multi-agent-ai

• 19/01/2021 Game Theory Note

physics

• 23/02/2021 Hartree-Fock Theory Note

quantum

• 23/02/2021 Hartree-Fock Theory Note

ab-initio

• 23/02/2021 Hartree-Fock Theory Note

math

• 09/03/2021 Implicit Differentiation Note